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Next-generation biomonitoring in a cohort of pregnant women from rural Bangladesh

Urheber*innen

Feuerstein,  Max L.
External Organizations;

Hossain,  Md Zakir
External Organizations;

/persons/resource/nicholas.kyei

Kyei,  Nicholas       
Potsdam Institute for Climate Impact Research;

/persons/resource/gabrysch

Gabrysch,  Sabine       
Potsdam Institute for Climate Impact Research;

Warth,  Benedikt
External Organizations;

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Zitation

Feuerstein, M. L., Hossain, M. Z., Kyei, N., Gabrysch, S., Warth, B. (2025 online): Next-generation biomonitoring in a cohort of pregnant women from rural Bangladesh. - Environment International, 110029.
https://doi.org/10.1016/j.envint.2025.110029


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_33644
Zusammenfassung
The exposome represents all chemical exposures individuals encounter throughout their lifetime. Exposure to harmful chemicals during early life can lead to adverse later-life health outcomes, with prenatal exposure being of particular relevance. Maternal urine samples represent a valuable resource for monitoring the exposome during pregnancy including exposures to environmental, food-, and lifestyle-related toxicants. We examined 446 urine samples from pregnant women living in rural Habiganj district in Bangladesh who participated in the Maternal Exposure to Mycotoxins and Adverse Pregnancy Outcomes (MEMAPO) cohort study. Using a targeted multi-class next-generation human biomonitoring (HBM) LC-MS/MS assay, we analyzed more than 100 xenobiotics. In total, 62 target compounds were detected in urine samples, showing varying individual exposure patterns. Mycoestrogens were detected in one third of the samples, antibiotics were present in almost two thirds of the samples, and most samples contained biomarkers of exposure to polyaromatic hydrocarbons. Personal care product-related compounds, phytoestrogens, and biomarkers of exposure to nicotine, pesticides, plasticizers, and industrial chemicals were ubiquitously detected. Correlations between analytes revealed associations among chemically or functionally related compounds. This is, to the best of our knowledge, the most comprehensive HBM dataset for pregnant women in Bangladesh and South Asia. The presented dataset includes normalized urinary concentrations based on creatinine ratios and specific density. Together with previously published mycotoxin exposure data in this cohort, the presented dataset may serve as a basis for future investigations of how the detected chemical exposure mix affects pregnancy outcomes.